The heat.engine.constraints Module

class heat.engine.constraints.AllowedPattern(pattern, description=None)

Bases: heat.engine.constraints.Constraint

Constrain values to a predefined regular expression pattern.

Serialises to JSON as:

{
    'allowed_pattern': <pattern>,
    'description': <description>
}

valid_types = ('STRING',)

class heat.engine.constraints.AllowedValues(allowed, description=None)

Bases: heat.engine.constraints.Constraint

Constrain values to a predefined set.

Serialises to JSON as:

{
    'allowed_values': [<allowed1>, <allowed2>, ...],
    'description': <description>
}

valid_types = ('STRING', 'INTEGER', 'NUMBER', 'BOOLEAN', 'LIST')

class heat.engine.constraints.AnyIndexDict(value)

Bases: _abcoll.Mapping

A Mapping that returns the same value for any integer index.

Used for storing the schema for a list. When converted to a dictionary, it contains a single item with the key ‘*’.

ANYTHING = '*'

class heat.engine.constraints.BaseCustomConstraint

Bases: object

A base class for validation using API clients.

It will provide a better error message, and reduce a bit of duplication. Subclass must provide expected_exceptions and implement validate_with_client.

error(value)

expected_exceptions = ()

validate(value, context)

class heat.engine.constraints.Constraint(description=None)

Bases: _abcoll.Mapping

Parent class for constraints on allowable values for a Property.

Constraints are serialisable to dictionaries following the HOT input Parameter constraints schema using dict().

DESCRIPTION = 'description'

validate(value, schema=None, context=None)

class heat.engine.constraints.CustomConstraint(name, description=None, environment=None)

Bases: heat.engine.constraints.Constraint

A constraint delegating validation to an external class.

custom_constraint

valid_types = ('STRING', 'INTEGER', 'NUMBER', 'BOOLEAN', 'LIST')

class heat.engine.constraints.Length(min=None, max=None, description=None)

Bases: heat.engine.constraints.Range

Constrain the length of values within a range.

Serialises to JSON as:

{
    'length': {'min': <min>, 'max': <max>},
    'description': <description>
}

valid_types = ('STRING', 'LIST', 'MAP')

class heat.engine.constraints.Range(min=None, max=None, description=None)

Bases: heat.engine.constraints.Constraint

Constrain values within a range.

Serialises to JSON as:

{
    'range': {'min': <min>, 'max': <max>},
    'description': <description>
}

MAX = 'max'

MIN = 'min'

valid_types = ('INTEGER', 'NUMBER')

class heat.engine.constraints.Schema(data_type, description=None, default=None, schema=None, required=False, constraints=None, label=None)

Bases: _abcoll.Mapping

Schema base class for validating properties or parameters.

Schema objects are serialisable to dictionaries following a superset of the HOT input Parameter schema using dict().

Serialises to JSON in the form:

{
    'type': 'list',
    'required': False
    'constraints': [
        {
            'length': {'min': 1},
            'description': 'List must not be empty'
        }
    ],
    'schema': {
        '*': {
            'type': 'string'
        }
    },
    'description': 'An example list property.'
}

BOOLEAN = 'Boolean'

BOOLEAN_TYPE = 'BOOLEAN'

CONSTRAINTS = 'constraints'

DEFAULT = 'default'

DESCRIPTION = 'description'

INTEGER = 'Integer'

INTEGER_TYPE = 'INTEGER'

KEYS = ('type', 'description', 'default', 'schema', 'required', 'constraints')

LIST = 'List'

LIST_TYPE = 'LIST'

MAP = 'Map'

MAP_TYPE = 'MAP'

NUMBER = 'Number'

NUMBER_TYPE = 'NUMBER'

REQUIRED = 'required'

SCHEMA = 'schema'

STRING = 'String'

STRING_TYPE = 'STRING'

TYPE = 'type'

TYPES = ('Integer', 'String', 'Number', 'Boolean', 'Map', 'List')

TYPE_KEYS = ('INTEGER', 'STRING', 'NUMBER', 'BOOLEAN', 'MAP', 'LIST')

set_default(default=None)

Set the default value for this Schema object.

static str_to_num(value)

Convert a string representation of a number into a numeric type.

to_schema_type(value)

Returns the value in the schema’s data type.

validate(context=None)

Validates the schema.

This method checks if the schema itself is valid, and if the default value - if present - complies to the schema’s constraints.

validate_constraints(value, context=None, skipped=None)